Senior Director - Advanced Analytics

The Senior Director -, Advanced Analytics leads the practice’s people, technical direction, delivery quality, and growth. This role sets the strategy for how clients discover, understand, and act on data across BI, semantic models, self-service analytics, embedded experiences, conversational analytics, decision intelligence, agents, and workflow-integrated automation. The Senior Director translates business priorities into modern analytics roadmaps across Power BI, Microsoft Fabric, Databricks, Azure AI, and complementary platforms, while shaping market offerings, strategic pursuits, alliance motions, and repeatable revenue growth.

At this level, the role carries shared accountability for market relevance, pipeline, bookings, revenue, margin, utilization, delivery excellence, and talent development. Success requires technical credibility, executive presence, commercial ownership, and the ability to build a culture where client value, innovation, trust, and continuous improvement reinforce one another.

Responsibilities

People Leadership

• Lead managers and teams with clear expectations, coaching, regular feedback, and accountability for delivery commitments, growth plans, and internal contributions.

• Monitor team health, morale, workload, utilization, and engagement; address performance or staffing risks early in partnership with practice leadership.

• Create development plans that include stretch assignments, mentoring, certifications, shadowing, and external visibility opportunities.

• Support hiring, interviews, performance reviews, promotion recommendations, compensation input, and consistent talent standards across the practice.

• Represent team needs, risks, successes, and patterns in leadership forums, and communicate priorities and decisions clearly back to the organization.

Advanced Analytics Strategy and Technical Leadership

• Own the Advanced Analytics strategy, architecture, and experience vision across Power BI, Microsoft Fabric, Databricks, Azure AI, and related platforms.

• Set standards for BI, dashboards, semantic and metrics layers, governed self-service, embedded analytics, natural-language exploration, conversational analytics, alerts, narratives, agents, and decision workflows.

• Define reference architectures spanning data ingestion, lakehouse, warehouse, ontology, semantic models, user experiences, APIs, and operational decision points.

• Establish trust, governance, responsible AI, lineage, security, privacy, explainability, monitoring, and human-oversight practices using platforms such as Microsoft Purview and Unity Catalog.

• Guide major architecture decisions, resolve trade-offs, remove technical blockers, and coach architects and delivery teams toward scalable, secure, reliable, accessible, and cost-effective solutions.

• Create reusable standards, reference implementations, playbooks, accelerators, and enablement that raise technical excellence and speed delivery across the practice.

Delivery and Consulting Excellence

• Lead executive stakeholder conversations on analytics strategy, cloud modernization, AI adoption, investment priorities, roadmaps, risks, and measurable outcomes.

• Shape discovery, architecture, estimation, and delivery plans that balance value, cost, speed, quality, adoption, and long-term platform health.

• Run decision forums, architecture reviews, and steering conversations that produce clear decisions, rationale, ownership, and next steps.

• Align teams on outcomes, backlogs, dependencies, APIs, integration contracts, delivery cadences, operating models, quality measures, and release plans.

• Track risk, technical debt, quality trends, architectural drift, and delivery performance; recommend course corrections that protect client outcomes and margin.

Go-to-Market, Growth, and Innovation

• Own the practice growth strategy, including priority markets, buyer personas, value propositions, offerings, partnerships, annual growth priorities, and measurable business outcomes.

• Translate market trends, client demand, Microsoft and Databricks priorities, and delivery lessons into repeatable plays, workshops, assessments, accelerators, and managed capabilities.

• Partner with sales, account, marketing, alliance, and practice leaders to create demand, qualify whitespace, shape pursuits, and build pipeline across new and existing clients.

• Serve as pursuit lead, solution lead, or executive sponsor for strategic opportunities, shaping win themes, solution strategy, estimates, staffing, risks, and executive presentations.

• Package successful outcomes into case studies, demonstrations, reference architectures, executive content, and reusable proof points that strengthen credibility and shorten sales cycles.

Requirements

• Bachelor’s degree in Analytics, Data Science, Computer Science, Information Systems, Human-Computer Interaction, Business, or related field preferred.

• 15+ years in analytics, BI, data products, decision intelligence, or adjacent human-centered data disciplines, including sustained practice leadership.

• 12+ years delivering enterprise-scale cloud, data, analytics, AI, modernization, or platform solutions; 7+ years leading architecture, engineering, or multi-team delivery.

• Deep expertise in modern analytics architecture, including Power BI, Microsoft Fabric, Databricks, Azure data services, semantic and metrics layers, self-service patterns, conversational analytics, agents, and workflow integration.

• Proven experience building and growing a consulting practice or portfolio with accountability for offerings, pipeline, bookings, revenue, margin, utilization, alliances, pursuits, and executive sponsorship.

• Strong consulting presence, executive communication, structured problem solving, stakeholder management, and ability to lead hybrid teams across complex, matrixed environments.

• Commitment to continuous learning in cloud, data, AI, responsible adoption, and practical improvement for teams and clients. Relevant Azure, Fabric, Power BI, or Databricks certifications preferred.

Preferred Qualifications

• Experience with multiple cloud vendors and complementary platforms such as Snowflake, Microsoft Fabric, Power BI, and Databricks.

• Experience creating and scaling Advanced Analytics offerings spanning BI, data products, embedded and conversational analytics, decision support, agents, and workflow automation.